In one embodiment, a method executed by at least one processor includes receiving first historical location information identifying a first location area at which a first user was present at a first time and receiving second location information identifying a second location area at which a second user was present at a second time. The method includes determining that the first historical location information and the second location information each correspond to a particular location area and determining that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the method includes causing information related to the first user to be presented to the second user. The information related to the first user includes the first location area of the first user relative to the second location area of the second user.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system, comprising: an interface configured to: receive first location information of a first user corresponding to a first time period; receive second location information of a second user corresponding to a second time period, wherein a difference between the first time period and the second time period is less than a threshold; one or more processors communicatively coupled to the interface and configured to: determine that the first location information and first time period, and the second location information and second time period, each correspond to an event; and in response to determining that the first location information and the second location information each correspond to the event, cause information to be presented to the second user, the information to be presented to the second user comprising the event and that the first user and the second user have the event in common.
The system operates in the domain of location-based social networking, addressing the problem of identifying and sharing common experiences between users based on their physical proximity during overlapping time periods. The system collects location data from multiple users, comparing their geographic coordinates and timestamps to detect when they were in the same place at roughly the same time. A threshold defines the acceptable time difference for considering two users' locations as part of the same event. When the system identifies overlapping location data within this threshold, it determines that the users likely attended the same event, such as a concert, meeting, or social gathering. The system then notifies one or both users, informing them of the shared experience and the other participant(s). This enables users to discover connections based on real-world interactions, enhancing social networking by highlighting mutual activities rather than relying solely on digital interactions or explicit user input. The system may also include additional features, such as event details, shared media, or options to connect with the other user.
2. The system of claim 1 , wherein: the first location information comprises a location at which the first user was present during the first time period; and the second location information comprises a location at which the second user was present during the second time period.
This invention relates to a system for tracking and analyzing user locations over time. The system addresses the problem of determining and comparing the physical presence of multiple users in specific locations during defined time periods. The system includes a first user device associated with a first user and a second user device associated with a second user. Each user device is configured to collect location information for its respective user during specified time periods. The first user device records the first user's location during a first time period, while the second user device records the second user's location during a second time period. The system then processes this location data to determine and compare the users' physical presence in specific locations. This allows for applications such as proximity tracking, time-based location verification, or behavioral analysis. The system may also include additional components to enhance accuracy, such as sensors or external data sources, to verify the recorded locations. The invention enables precise tracking of user movements and interactions, which can be used in various fields like security, logistics, or social networking.
3. The system of claim 1 , wherein the first location information comprises a location at which the first user will be present during the first time period.
This invention relates to a system for managing user locations and schedules. The problem addressed is the need to accurately track and predict user locations over specific time periods to facilitate coordination, security, or resource allocation. The system includes a first user device and a second user device, each capable of determining and transmitting location information. The system also includes a server that receives and processes this location information to determine the presence of users at specific locations during defined time periods. The first location information provided by the first user device includes a predicted or confirmed location where the first user will be present during a first time period. This information may be derived from user input, device tracking, or scheduling data. The system uses this data to generate alerts, notifications, or access permissions based on the user's expected location. The second user device similarly provides location information, which may be used to verify or update the first user's location data. The server processes both sets of location information to ensure accuracy and reliability. The system may also include additional features such as real-time tracking, historical location data analysis, and integration with external scheduling or security systems. The goal is to provide a robust solution for location-based coordination, ensuring that users are where they are expected to be at specific times. This can be applied in various fields, including workplace management, event coordination, and security monitoring.
4. The system of claim 1 , wherein: the first location information comprises a location at which the first user will be present during the first time period; and the second location information comprises a location at which the second user will be present during the second time period.
This invention relates to a system for coordinating user interactions based on location and time. The system addresses the problem of efficiently scheduling meetings or interactions between users by leveraging their predicted or confirmed locations during specific time periods. The system includes a first user and a second user, each associated with location information for distinct time periods. The first location information specifies a location where the first user will be present during a first time period, while the second location information specifies a location where the second user will be present during a second time period. The system may also include a processor that determines whether the first and second users are at the same location during overlapping time periods, enabling the scheduling of interactions or meetings. The system may further include a communication interface for exchanging data between users or with external systems, and a memory for storing user profiles, location data, and scheduling information. The system may also include a display for presenting location and scheduling information to users. The invention aims to improve the efficiency of scheduling by reducing the need for manual coordination and ensuring that users are in the same location when interactions are planned.
5. The system of claim 1 , wherein: the one or more processors are further configured to determine that the first location information and the second location information each correspond to a location type; and wherein the information presented to the second user comprises the location type and that the first user and the second user have the location type in common.
This invention relates to a location-based system that facilitates connections between users based on shared location types. The system addresses the problem of efficiently identifying and presenting relevant location-based information to users, particularly when users share common location types such as workplaces, schools, or frequented venues. The system includes one or more processors configured to process location data from multiple users. The processors determine that the first user and the second user each have location information corresponding to a specific location type, such as a workplace or school. The system then presents information to the second user, indicating the shared location type and confirming that both users have this location type in common. This helps users discover and connect with others who share similar location contexts, enhancing relevance and reducing unnecessary notifications. The system may also include additional features, such as processing additional location data, determining proximity, or filtering information based on user preferences. The overall goal is to improve user engagement by providing meaningful location-based insights.
6. The system of claim 1 , wherein the one or more processors are further configured to: receive a preference of a second user for a plurality of users that have location information corresponding to the event; determine that each of the plurality of users having location information corresponding to the event; and present information to the second user, the information to be presented to the second user comprising the event and that the second user and the plurality of users have the event in common.
This invention relates to a system for identifying and presenting shared events among users based on their location information. The problem addressed is the difficulty of discovering common experiences or events among users who may be geographically dispersed or otherwise unaware of shared activities. The system uses location data to determine when multiple users are present at the same event, such as a concert, sports game, or social gathering, and then notifies a second user that others have attended or are attending the same event. The system first receives a preference from the second user, which may include criteria for selecting relevant users or events. It then identifies a group of users whose location data indicates they were at the same event as the second user. Finally, the system presents information to the second user, highlighting the event and confirming that both the second user and the identified group share this common experience. This allows users to discover connections with others who attended the same events, fostering social interactions and community building. The system may also include additional features, such as filtering users based on privacy settings or event relevance, to ensure the information presented is meaningful and respectful of user preferences.
7. The system of claim 1 , wherein receiving first location information of a first user comprises receiving a submission of a location of the first user.
A system for managing user locations involves tracking and processing geographic data to facilitate interactions between users. The system receives location information from a first user, where this data is obtained through a direct submission of the user's location. The system also processes location data from a second user, which may be derived from a device associated with the second user, such as a mobile device or sensor. The system then determines a relative position between the first and second users based on their respective location data. This relative positioning enables the system to assess proximity or distance between the users, which can be used for various applications, such as social networking, security monitoring, or location-based services. The system may also include a user interface for displaying the relative positions of the users, allowing for real-time tracking or notifications when certain proximity conditions are met. The system ensures accurate and timely location data to support these functionalities, addressing challenges in user tracking and spatial awareness in dynamic environments.
8. A non-transitory computer-readable medium encoded with logic, the logic configured when executed to: receive first location information of a first user corresponding to a first time period; receive second location information of a second user corresponding to a second time period, wherein a difference between the first time period and the second time period is less than a threshold; determine that the first location information and first time period, and the second location information and second time period, each correspond to an event; and in response to determining that the first location information and the second location information each correspond to the event, cause information to be presented to the second user, the information to be presented to the second user comprising the event and that the first user and the second user have the event in common.
This invention relates to a system for identifying and sharing common events between users based on their location data. The problem addressed is the difficulty of automatically detecting and notifying users when they have attended the same event, such as a concert, meeting, or social gathering, without requiring manual input. The system collects location data from multiple users over time, including timestamps. When two users are in the same location during overlapping time periods, the system determines whether their location and time data correspond to a specific event. If the time difference between their visits is within a predefined threshold, the system infers that they attended the same event. The system then generates a notification for one or both users, informing them that they share a common event. This notification may include details about the event, such as its name or location, and may facilitate further interaction, such as connecting the users or suggesting related content. The system may also analyze additional data, such as user profiles or event databases, to refine event identification. For example, if a user's location matches a known event venue during its scheduled time, the system can confirm the event with higher confidence. The notification can be customized based on user preferences or privacy settings, ensuring that only relevant information is shared. This approach enhances social discovery and networking by automatically identifying shared experiences without explicit user input.
9. The computer-readable medium of claim 8 , wherein: the first location information comprises a location at which the first user was present during the first time period; and the second location information comprises a location at which the second user was present during the second time period.
This invention relates to a system for analyzing and correlating location data of multiple users over time. The problem addressed is the need to accurately determine and compare the physical presence of individuals in specific locations during defined time periods, which is useful for applications such as contact tracing, social interaction analysis, or security monitoring. The system involves storing location information for at least two users, where the first user's location data is recorded during a first time period and the second user's location data is recorded during a second time period. The location information specifies the exact geographic coordinates or identifiable places where each user was present during their respective time periods. The system then processes this data to determine whether the users were in the same or proximate locations during overlapping or adjacent time intervals, enabling inferences about potential interactions or shared presence. The invention also includes a method for retrieving and comparing this location data from a database, ensuring that the stored information is accurate and time-stamped to reflect real-world movements. The system may further analyze the data to identify patterns, such as repeated co-location or temporal proximity, which can be used for various analytical or security purposes. The technology is designed to work with existing location-tracking devices and databases, providing a scalable solution for monitoring and correlating user movements.
10. The computer-readable medium of claim 8 , wherein the first location information comprises a location at which the first user will be present during the first time period.
A system and method for managing location-based user interactions involves tracking and predicting user locations to facilitate coordinated activities. The technology addresses the challenge of coordinating meetings or events between users who may be in different locations, by predicting where each user will be at specific times and enabling scheduling based on these predictions. The system collects location data from user devices, analyzes historical movement patterns, and generates probabilistic location predictions for future time periods. These predictions are used to determine optimal times and places for interactions, such as meetings or shared activities, by identifying overlapping or nearby locations where users are likely to be present. The system may also account for user preferences, constraints, or external factors (e.g., traffic, weather) to refine predictions and suggestions. By leveraging predictive analytics, the system reduces the need for manual coordination and improves the efficiency of scheduling location-dependent activities. The invention is applicable in personal, professional, or social contexts where aligning physical presence is important.
11. The computer-readable medium of claim 8 , wherein: the first location information comprises a location at which the first user will be present during the first time period; and the second location information comprises a location at which the second user will be present during the second time period.
This invention relates to a system for managing location-based interactions between users during specific time periods. The problem addressed is the need to accurately determine and utilize the physical locations of users at different times to facilitate coordinated activities or communications. The system involves a computer-readable medium storing instructions that, when executed, perform operations for processing location information of multiple users. The first user's location information specifies where they will be during a first time period, while the second user's location information specifies where they will be during a second time period. The system uses this data to enable interactions, such as scheduling meetings, coordinating deliveries, or facilitating real-time communications, based on the users' expected locations during the specified time frames. The system may also include additional features, such as generating alerts when users are in proximity to each other or providing navigation assistance to help users reach a desired location. The location information can be derived from various sources, including GPS data, user input, or historical location patterns. The system ensures that interactions are contextually relevant by considering both the users' locations and the specific time periods during which they will be present at those locations. This approach enhances efficiency and accuracy in location-based coordination tasks.
12. The computer-readable medium of claim 8 , wherein: the logic is further configured to determine that the first location information and the second location information each correspond to a location type; and wherein the information presented to the second user comprises the location type and that the first user and the second user have the location type in common.
This invention relates to a system for sharing location-based information between users in a networked environment. The problem addressed is the lack of contextual awareness in location-sharing services, where users may receive raw location data without meaningful insights or shared context. The system involves a computer-readable medium storing logic that processes location information from at least two users. The logic determines that the first user and the second user each have location information corresponding to a specific location type, such as a workplace, home, or public venue. The system then presents information to the second user, indicating both the location type and the fact that the first user and the second user share this location type in common. This allows users to understand shared contexts without exposing precise coordinates or raw location data, enhancing privacy and usability. The logic may also compare the location information of multiple users to identify commonalities beyond just location types, such as proximity or shared activities. The system can filter or prioritize location-based information based on these commonalities, improving relevance. The invention ensures that location-sharing is both informative and privacy-preserving by abstracting raw location data into meaningful, shared context.
13. The computer-readable medium of claim 8 , wherein the logic is further configured to: receive a preference of a second user for a plurality of users that have location information corresponding to the event; determine that each of the plurality of users having location information corresponding to the event; and present information to the second user, the information to be presented to the second user comprising the event and that the second user and the plurality of users have the event in common.
This invention relates to a system for identifying and presenting shared events among users based on their location information. The problem addressed is the difficulty of discovering common interests or activities among users who are geographically proximate or attending the same event, without requiring explicit user input or manual coordination. The system involves a computer-readable medium storing logic that processes location data to identify events shared by multiple users. When a second user expresses a preference to find others with similar event participation, the system analyzes location data to determine which users have attended or are attending the same event. The system then presents this information to the second user, highlighting the event and indicating that both the second user and the identified users share this common experience. This allows users to discover connections based on real-world activities without needing to manually search or tag events. The logic may also include additional features, such as filtering users based on location proximity or event relevance, and presenting the shared event information in a user interface. The system enhances social discovery by leveraging location data to automatically identify and display common experiences among users.
14. The computer-readable medium of claim 8 , wherein receiving first location information of a first user comprises receiving a submission of a location of the first user.
Computer-implemented systems and methods for managing location data. This invention addresses the problem of obtaining and utilizing precise user location information within a computer system. Specifically, it pertains to a computer-readable medium that stores instructions for performing actions related to user location data. When a first location of a first user is provided or entered, this information is received by the system. This receipt of the user's location data is a crucial step in enabling subsequent operations or analyses involving that user's spatial presence. The computer-readable medium is configured to process this received location information, facilitating various functionalities that rely on knowing where a user is situated.
15. A method, comprising: receiving first location information of a first user corresponding to a first time period; receiving second location information of a second user corresponding to a second time period, wherein a difference between the first time period and the second time period is less than a threshold; determining that the first location information and first time period, and the second location information and second time period, each correspond to an event; and in response to determining that the first location information and the second location information each correspond to the event, causing information to be presented to the second user, the information to be presented to the second user comprising the event and that the first user and the second user have the event in common.
This invention relates to a system for identifying and sharing common events between users based on their location data. The problem addressed is the difficulty of automatically detecting and notifying users when they have attended the same event, such as a concert, meeting, or social gathering, without requiring manual input or explicit confirmation. The method involves receiving location data from two users over overlapping time periods. The first user's location data is collected during a first time period, and the second user's location data is collected during a second time period, with the time difference between the two periods being less than a predefined threshold. The system then determines whether the location and time data for each user corresponds to a specific event. If both users' data match an event, the system notifies the second user, providing details about the event and confirming that both users attended it. This allows users to discover shared experiences without manual effort, enhancing social connectivity and event-based interactions. The system may also apply additional criteria, such as proximity or duration, to refine event matching accuracy.
16. The method of claim 15 , wherein: the first location information comprises a location at which the first user was present during the first time period; and the second location information comprises a location at which the second user was present during the second time period.
This invention relates to a system for analyzing and correlating location data of multiple users to determine potential interactions or connections between them. The problem addressed is the need to accurately identify when and where users may have been in proximity to each other, which is useful for applications such as contact tracing, social network analysis, or security monitoring. The method involves collecting location information for a first user during a first time period and for a second user during a second time period. The location information specifies the physical locations where each user was present during their respective time periods. The system then compares the location data of the two users to determine if they were at the same or nearby locations during overlapping or adjacent time periods. This comparison helps establish whether the users may have interacted or been in close proximity to each other. The method may also include additional steps such as determining the duration of time the users were at the same location, calculating the distance between their locations, or identifying patterns of repeated proximity. The system can use this data to generate insights, such as potential social connections, exposure risks, or behavioral trends. The invention is particularly useful in scenarios where precise location tracking is required to infer interactions between individuals.
17. The method of claim 15 , wherein the first location information comprises a location at which the first user will be present during the first time period.
This invention relates to a system for managing user presence and availability information in a communication network. The problem addressed is the lack of accurate and dynamic user location data, which can lead to inefficient communication attempts and missed interactions. The invention provides a method for determining and sharing user location information to improve communication coordination. The method involves tracking a user's location during a specified time period and using this data to facilitate communication. A first user's location is determined for a first time period, and this location information is shared with a second user. The first user's location data includes a specific place where the first user will be present during the first time period, allowing the second user to know where to contact or meet the first user. The system may also track the first user's location during a second time period and share this updated information with the second user, ensuring real-time awareness of the first user's whereabouts. The method further includes generating a notification for the second user when the first user's location changes, providing alerts about the first user's availability. The system can also determine if the first user is within a predefined distance of the second user, enabling proximity-based communication features. Additionally, the method may involve adjusting communication settings based on the first user's location, such as routing calls or messages to the appropriate device or network. This dynamic location tracking and sharing system enhances communication efficiency by ensuring users have accurate and up-to-date information about each other's whereabouts.
18. The method of claim 15 , wherein: the first location information comprises a location at which the first user will be present during the first time period; and the second location information comprises a location at which the second user will be present during the second time period.
This invention relates to a system for coordinating user interactions based on location and time. The problem addressed is the difficulty of scheduling meetings or interactions between users who may be in different locations at different times, requiring a method to efficiently determine overlapping availability. The method involves determining a first time period during which a first user is available and a second time period during which a second user is available. The first user's location during the first time period and the second user's location during the second time period are also identified. The system then determines whether the first and second users will be at the same location during overlapping time periods. If an overlap is found, the system may facilitate scheduling an interaction between the users at the overlapping location and time. The method may also include generating a notification to one or both users indicating the overlapping availability and location. Additionally, the system may consider additional factors such as user preferences, travel time, or other constraints to refine the scheduling proposal. The goal is to automate the process of finding mutually convenient times and locations for interactions, reducing manual coordination efforts.
19. The method of claim 15 , further comprising: determining that the first location information and the second location information each correspond to a location type; and wherein the information presented to the second user comprises the location type and that the first user and the second user have the location type in common.
This invention relates to a system for facilitating social connections between users based on shared location information. The problem addressed is the difficulty of identifying and connecting users who share common locations or location types, such as workplaces, schools, or frequented venues, without requiring explicit user input or manual tagging. The system collects location information from multiple users, including a first user and a second user, through their devices. The location information is processed to determine whether the users have been at the same or similar locations, such as a specific address, geographic coordinates, or a predefined location type (e.g., a coffee shop, gym, or office building). The system then analyzes the location data to identify matches between users, even if they visited the location at different times. When a match is found, the system presents information to the second user, indicating that the first user shares the same location type. This allows users to discover potential connections based on shared physical spaces, enhancing social or professional networking opportunities. The system may also prioritize or filter connections based on additional factors, such as frequency of visits or recency. The invention improves upon existing location-based services by automating the detection of shared locations and providing meaningful context (e.g., location type) to users.
20. The method of claim 15 , further comprising: receiving a preference of a second user for a plurality of users that have location information corresponding to the event; determining that each of the plurality of users having location information corresponding to the event; and presenting information to the second user, the information to be presented to the second user comprising the event and that the second user and the plurality of users have the event in common.
This invention relates to a system for identifying and sharing common events among users based on their location information. The problem addressed is the difficulty of discovering shared experiences or events among individuals who may be in proximity or attending the same event, without requiring explicit user input or manual coordination. The method involves receiving location information from multiple users, which is then analyzed to determine if they are attending the same event. A user can specify preferences for other users whose location data matches a particular event. The system then identifies a group of users who are at the same event and presents this information to the requesting user, highlighting the shared event. This allows users to see who else is at the same event, facilitating connections or coordination without prior arrangement. The system may also include additional features such as event categorization, user privacy controls, and optional user verification to ensure accuracy. The method ensures that users can discover shared experiences dynamically, enhancing social interaction and event participation. The approach leverages location data to infer common events, reducing the need for manual input while maintaining user privacy and control.
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March 2, 2020
February 22, 2022
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